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  3. SETソフトウェア データ分析・活用ソリューション担当
  4. An Introduction to Nonlinear Experimental Design Methods Using Experimental Design Techniques for Engineers and Artificial Intelligence That Can Be Built on Excel - Basics and Implementation Procedures of "Experimental Design Methods in Manufacturing" and "Nonlinear Experimental Design Methods Using Artificial Intelligence to Address Complex Phenomena Where Experimental Design Methods Fail."
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  • Aug 15, 2021
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Aug 15, 2021

An Introduction to Nonlinear Experimental Design Methods Using Experimental Design Techniques for Engineers and Artificial Intelligence That Can Be Built on Excel - Basics and Implementation Procedures of "Experimental Design Methods in Manufacturing" and "Nonlinear Experimental Design Methods Using Artificial Intelligence to Address Complex Phenomena Where Experimental Design Methods Fail."

SETソフトウェア SETソフトウェア データ分析・活用ソリューション担当
1. Problems with typical existing development methods 2. What is experimental design? 3. Problems with experimental design 4. Solutions to the problems of experimental design: Utilizing neural network models (super regression) 5. How to find optimal conditions using neural network models (super regression) 6. Other problems specific to experimental design in the manufacturing industry 7. Introduction to reference materials for learning 8. Q&A for the entire session
Date and time Thursday, Oct 21, 2021
10:00 AM ~ 05:00 PM
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Neural Works Predict

Quickly create a multi-layer neural network model from Excel data without programming.

NeuralWorks Predict provides data analysis capabilities based on neural network analysis. It learns complex patterns from accumulated data to build more accurate predictions and pattern recognition models than traditional statistical analysis methods, as well as clustering functions based on data visualization, all without the need for programming. [Customer Feedback] - I am very grateful that I can easily try multivariate analysis in a way that has not been possible until now. - NeuralWorks is extremely helpful when linearity is visible but interactions are considered. The calculations are fast, and since there is no need for programming, it is easy to start preliminary investigations, which I appreciate. - Unlike other AI platforms, I appreciate that the created models are output as function code and can be used independently of the platform. I was surprised that I could build artificial intelligence in about 5 seconds without programming. - We were able to achieve prototype reduction and compression of experimental counts for electronic components and home appliances, leading to cost savings of several hundred million yen annually.

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NeuralSight

Fully automating the search for the best model applicable to business, strongly supporting the development of a robust estimation system based on collective learning.

NeuralSight is positioned as a superior product to NeuralWorks Predict and maximizes the results of problem-solving solutions based on the analytical models we propose. NeuralSight automates the parameter tuning process, which has traditionally required trial and error, by allowing users to set conditions for model building through a GUI. It enables the visual selection of applicable models for operations from a generated group of models (ranging from hundreds to thousands) while aligning with practical insights. This makes it a powerful tool that significantly enhances development productivity and reduces development costs. Additionally, it strongly supports the development of estimation models based on collective learning, which addresses the shortcomings of neural network models in point estimation compared to probabilistic models like Bayesian statistics, by leveraging the output distribution of numerous high-performance models generated. This package includes a runtime engine for developing and testing business applications based on predictive models.

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Research and development support solutions by Neural Works.

Research and development support solutions by Neural Works.

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Notice of Participation in the Fukushima Industrial Exchange Fair on January 22, 2026 (Thursday)

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Our company will exhibit at the "Reiwa 7th Year Fukushima Industrial Exchange Fair," held at Pulse Iizaka, as our first exhibition to kick off 2026. This fair aims to expand new business transactions and create business opportunities within the region, as well as to promote interaction and collaboration with universities and support organizations. ★ Participating Industry Sectors Machinery, Electronics, Metals / Medical, Welfare / Robotics, Aerospace / Food Processing Environment, Energy / Information, IT / Universities, Support Organizations / Regional Municipalities On the day of the event, we will showcase a variety of popular injection-molded products and resin-cutting processed items, so please feel free to stop by the IIDA booth. 【Iida Manufacturing Co., Ltd. Fukushima No. 2 Factory】 〒969-1204 21-2 Mizukami, Nukazawa, Motomiya City, Fukushima Prefecture TEL: 0243-64-2320 FAX: 0243-64-2571

Jan 12, 2026

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2026/01/23 ◆ Engineering Artificial Intelligence Seminar

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Introduction to Artificial Intelligence Application Development Led by Element Technologists Basics of Deep Neural Network Models and MT Systems, Minimization of Training Data, Development Implementation Procedures ~ Learning AI Application Know-How through "Automation of Development, Virtual Inspection, and Detection of Unknown Anomalies" ~ 【AI Construction Demo Included, Excel Materials on AI Construction and Calculation Methods Provided to Interested Parties】 ------------------------------------------------------------ https://johokiko.co.jp/seminar_chemical/AD260103.php ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We will inform you about upcoming technical seminars with discounted participation fees. If you would like to apply for each seminar with a discount, please contact ikuma.fukui@wmjplab.com. * The discount on participation fees is available to anyone. * However, we do not accept applications from technical consultants or instructors. * If you wish to have an in-house training session for the same seminar, please contact me directly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Jan 09, 2026

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February 20, 2026 ◆ Loss Function (JIS Z 8403) Seminar

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Method for determining inspection standards, standard values, and safety factors based on economic risks Practical introduction to a method for preventing profit and loss that does not rely on statistical distribution (loss function) [With PC exercises (using templates that can also be repurposed for in-house issue discussions)] ------------------------------------------------------------ https://www.science-t.com/seminar/B260220.html ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We will inform you about upcoming technical seminars with discounts on participation fees. If you would like to apply for each seminar with a discount on the participation fee, please contact ikuma.fukui@wmjplab.com. * The discount on the participation fee is available to anyone. * However, we do not accept applications from technical consultants or instructors. * If you wish to have the same seminar as an in-house training, please contact me directly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Jan 09, 2026

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February 27, 2026 ◆ Half-Day Intensive Course ◆ MT System (MT Method) Engineering Artificial Intelligence Seminar

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Artificial Intelligence Suitable for Detecting Unknown Defects and Abnormalities through Inspection, Sensing, and Monitoring ~ Introduction to the Basics and Applications of MT Systems (MT Method) ~ [Half-Day Intensive Seminar] [AI Construction and Calculation Method Excel Materials Provided for Interested Participants] ------------------------------------------------------------ https://www.rdsc.co.jp/seminar/260207 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We will inform you about upcoming technical seminars with discounted participation fees. If you would like to apply for each seminar with a discount, please contact ikuma.fukui@wmjplab.com. * The discount is available to anyone. * However, we do not accept participants who are technical consultants or instructors. * If you wish to have this seminar as an in-house training, please contact me directly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Jan 09, 2026

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March 6, 2026 ◆ Quality Engineering (Taguchi Method) Parameter Design Seminar

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Robust Optimization Development Method to Solve the Four Major Challenges in Technology and Product Development: A Practical Introduction ~ Learning through Comparison with Conventional Development Methods and Experimental Design Methods [Quality Engineering Parameter Design] ~ [Software and Discussion Template Available for Interested Parties] ------------------------------------------------------------ https://www.rdsc.co.jp/seminar/260316 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We will inform you about upcoming technical seminars with discounted participation fees. If you would like to apply for each seminar with a discount, please contact ikuma.fukui@wmjplab.com. * The discount on participation fees is available to anyone. * However, we do not accept participation from technical consultants or instructors. * If you wish to have this seminar as an in-house training, please contact me directly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Jan 09, 2026

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